Book,
Beyond ANOVA: Basics of Applied Statistics (Texts in Statistical Science Series)
Chapman & Hall/CRC, (January 1997)
Abstract
Renowned statistician R.G. Miller set the pace for statistics students withBeyond ANOVA: Basics of Applied Statistics. Designed to show students how towork with a set of "real world data," Miller's text goes beyond any specificdiscipline, and considers a whole variety of techniques from ANOVA toempirical Bayes methods; the jackknife, bootstrap methods; and the James-Steinestimator.This reissue of Miller's classic book has been revised by professorsat Stanford University, California. As before, one of the main strengths ofBeyond ANOVA is its promotion of the use of the most straightforward dataanalysis methods-giving students a viable option, instead of resorting tocomplicated and unnecessary tests. Assuming a basic background in statistics,Beyond ANOVA is written for undergraduates and graduate statistics students.Its approach will also be valued by biologists, social scientists, engineers,and anyone who may wish to handle their own data analysis.
